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ArticleGranger causality is designed to measure effect, not mechanism

Adam B. Barrett2013

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Articlegold2013

Granger causality is designed to measure effect, not mechanism

Adam B. Barrett · Lionel Barnett

71 citations·0/0 files stored·Frontiers in Neuroinformatics

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Philosophy and History of Science Functional Brain Connectivity Studies Bayesian Modeling and Causal Inference

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is designed to measure effect, not mechanism Granger causality is designed to measure effect, not mechanism

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References

1982Measurement of Linear Dependence and Feedback Between Multiple Time Series 2009Granger Causality and Transfer Entropy Are Equivalent for Gaussian Variables 2008Robustly Estimating the Flow Direction of Information in Complex Physical Systems

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2018Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation 2018Measuring integrated information: comparison of \ncandidate measures in theory and simulation 2019Decreased directed functional connectivity in the psychedelic state 2015Determinants of Current Account Deficit in Turkey: The Conditional and Partial Granger Causality Approach

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Details

Year2013

Typearticle

Published2013-01-01

VenueFrontiers in Neuroinformatics

ISSN-L1662-5196

Languageen

Citations71

Files0 public / 0

ShelfPhilosophy and History of Science

Identifiers

doi10.3389/fninf.2013.00006

openalex_workW2105787136

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